Chenghua Shao
Rutgers University
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Publication
Featured researches published by Chenghua Shao.
Nucleic Acids Research | 2017
Peter W. Rose; Andreas Prlić; Ali Altunkaya; Chunxiao Bi; Anthony R. Bradley; Cole Christie; Luigi Di Costanzo; Jose M. Duarte; Shuchismita Dutta; Zukang Feng; Rachel Kramer Green; David S. Goodsell; Brian P. Hudson; Tara Kalro; Robert Lowe; Ezra Peisach; Christopher Randle; Alexander S. Rose; Chenghua Shao; Yi-Ping Tao; Yana Valasatava; Maria Voigt; John D. Westbrook; Jesse Woo; Huangwang Yang; Jasmine Young; Christine Zardecki; Helen M. Berman; Stephen K. Burley
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, http://rcsb.org), the US data center for the global PDB archive, makes PDB data freely available to all users, from structural biologists to computational biologists and beyond. New tools and resources have been added to the RCSB PDB web portal in support of a ‘Structural View of Biology.’ Recent developments have improved the User experience, including the high-speed NGL Viewer that provides 3D molecular visualization in any web browser, improved support for data file download and enhanced organization of website pages for query, reporting and individual structure exploration. Structure validation information is now visible for all archival entries. PDB data have been integrated with external biological resources, including chromosomal position within the human genome; protein modifications; and metabolic pathways. PDB-101 educational materials have been reorganized into a searchable website and expanded to include new features such as the Geis Digital Archive.
Journal of Biological Chemistry | 2008
Chenghua Shao; Valerie A. Novakovic; James F. Head; Barbara A. Seaton; Gary E. Gilbert
Lactadherin is a phosphatidyl-l-serine (Ptd-l-Ser)-binding protein that decorates membranes of milk fat globules. The major Ptd-l-Ser binding function of lactadherin has been localized to its C2 domain, which shares homology with the C2 domains of blood coagulation factor VIII and factor V. Correlating with this homology, purified lactadherin competes efficiently with factors VIII and V for Ptd-l-Ser binding sites, functioning as a potent anticoagulant. We have determined the crystal structure of the lactadherin C2 domain (Lact-C2) at 1.7Å resolution. The bovine Lact-C2 structure has a β-barrel core that is homologous with the factor VIII C2 (fVIII-C2) and factor V C2 (fV-C2) domains. Two loops at the end of the β-barrel, designated spikes 1 and 3, display four water-exposed hydrophobic amino acids, reminiscent of the membrane-interactive residues of fVIII-C2 and fV-C2. In contrast to the corresponding loops in fVIII-C2 and fV-C2, spike 1 of Lact-C2 adopts a hairpin turn in which the 7-residue loop is stabilized by internal hydrogen bonds. Further, central glycine residues in two membrane-interactive loops may enhance conformability of Lact-C2 to membrane binding sites. Mutagenesis studies confirmed a membrane-interactive role for the hydrophobic and/or Gly residues of both spike 1 and spike 3. Substitution of spike 1 of fVIII-C2 into Lact-C2 also diminished binding. Computational ligand docking studies identified two prospective Ptd-l-Ser interaction sites. These results identify two membrane-interactive loops of Lact-C2 and provide a structural basis for the more efficient phospholipid binding of lactadherin as compared with factor VIII and factor V.
FEBS Letters | 2013
Helen M. Berman; Buvaneswari Coimbatore Narayanan; Luigi Di Costanzo; Shuchismita Dutta; Sutapa Ghosh; Brian P. Hudson; Catherine L. Lawson; Ezra Peisach; Andreas Prlić; Peter W. Rose; Chenghua Shao; Huanwang Yang; Jasmine Young; Christine Zardecki
The Protein Data Bank (PDB) was established in 1971 as a repository for the three dimensional structures of biological macromolecules. Since then, more than 85 000 biological macromolecule structures have been determined and made available in the PDB archive. Through analysis of the corpus of data, it is possible to identify trends that can be used to inform us abou the future of structural biology and to plan the best ways to improve the management of the ever‐growing amount of PDB data.
Journal of Biological Chemistry | 2006
Chenghua Shao; Fuming Zhang; Melissa M. Kemp; Robert J. Linhardt; David M. Waisman; James F. Head; Barbara A. Seaton
Annexin A2 and heparin bind to one another with high affinity and in a calcium-dependent manner, an interaction that may play a role in mediating fibrinolysis. In this study, three heparin-derived oligosaccharides of different lengths were co-crystallized with annexin A2 to elucidate the structural basis of the interaction. Crystal structures were obtained at high resolution for uncomplexed annexin A2 and three complexes of heparin oligosaccharides bound to annexin A2. The common heparin-binding site is situated at the convex face of domain IV of annexin A2. At this site, annexin A2 binds up to five sugar residues from the nonreducing end of the oligosaccharide. Unlike most heparin-binding consensus patterns, heparin binding at this site does not rely on arrays of basic residues; instead, main-chain and side-chain nitrogen atoms and two calcium ions play important roles in the binding. Especially significant is a novel calcium-binding site that forms upon heparin binding. Two sugar residues of the heparin derivatives provide oxygen ligands for this calcium ion. Comparison of all four structures shows that heparin binding does not elicit a significant conformational change in annexin A2. Finally, surface plasmon resonance measurements were made for binding interactions between annexin A2 and heparin polysaccharide in solution at pH 7.4 or 5.0. The combined data provide a clear basis for the calcium dependence of heparin binding to annexin A2.
Bioinformatics | 2015
John D. Westbrook; Chenghua Shao; Zukang Feng; Marina Zhuravleva; Sameer Velankar; Jasmine Young
UNLABELLED The Chemical Component Dictionary (CCD) is a chemical reference data resource that describes all residue and small molecule components found in Protein Data Bank (PDB) entries. The CCD contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, chemical descriptors, systematic chemical names and idealized coordinates. The content, preparation, validation and distribution of this CCD chemical reference dataset are described. AVAILABILITY AND IMPLEMENTATION The CCD is updated regularly in conjunction with the scheduled weekly release of new PDB structure data. The CCD and amino acid variant reference datasets are hosted in the public PDB ftp repository at ftp://ftp.wwpdb.org/pub/pdb/data/monomers/components.cif.gz, ftp://ftp.wwpdb.org/pub/pdb/data/monomers/aa-variants-v1.cif.gz, and its mirror sites, and can be accessed from http://wwpdb.org. CONTACT [email protected]. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Biopolymers | 2014
Shuchismita Dutta; Dimitris Dimitropoulos; Zukang Feng; Irina Persikova; Sanchayita Sen; Chenghua Shao; John D. Westbrook; Jasmine Young; Marina Zhuravleva; Gerard J. Kleywegt; Helen M. Berman
With the accumulation of a large number and variety of molecules in the Protein Data Bank (PDB) comes the need on occasion to review and improve their representation. The Worldwide PDB (wwPDB) partners have periodically updated various aspects of structural data representation to improve the integrity and consistency of the archive. The remediation effort described here was focused on improving the representation of peptide-like inhibitor and antibiotic molecules so that they can be easily identified and analyzed. Peptide-like inhibitors or antibiotics were identified in over 1000 PDB entries, systematically reviewed and represented either as peptides with polymer sequence or as single components. For the majority of the single-component molecules, their peptide-like composition was captured in a new representation, called the subcomponent sequence. A novel concept called “group” was developed for representing complex peptide-like antibiotics and inhibitors that are composed of multiple polymer and nonpolymer components. In addition, a reference dictionary was developed with detailed information about these peptide-like molecules to aid in their annotation, identification and analysis. Based on the experience gained in this remediation, guidelines, procedures, and tools were developed to annotate new depositions containing peptide-like inhibitors and antibiotics accurately and consistently.
Structure | 2017
Jasmine Young; John D. Westbrook; Zukang Feng; Raul Sala; Ezra Peisach; Thomas J. Oldfield; Sanchayita Sen; Aleksandras Gutmanas; David R. Armstrong; John M. Berrisford; Li Chen; Minyu Chen; Luigi Di Costanzo; Dimitris Dimitropoulos; Guanghua Gao; Sutapa Ghosh; Swanand Gore; Vladimir Guranovic; Pieter M. S. Hendrickx; Brian P. Hudson; Reiko Igarashi; Yasuyo Ikegawa; Naohiro Kobayashi; Catherine L. Lawson; Yuhe Liang; Steve Mading; Lora Mak; M. Saqib Mir; Abhik Mukhopadhyay; Ardan Patwardhan
OneDep, a unified system for deposition, biocuration, and validation of experimentally determined structures of biological macromolecules to the PDB archive, has been developed as a global collaboration by the worldwide PDB (wwPDB) partners. This new system was designed to ensure that the wwPDB could meet the evolving archiving requirements of the scientific community over the coming decades. OneDep unifies deposition, biocuration, and validation pipelines across all wwPDB, EMDB, and BMRB deposition sites with improved focus on data quality and completeness in these archives, while supporting growth in the number of depositions and increases in their average size and complexity. In this paper, we describe the design, functional operation, and supporting infrastructure of the OneDep system, and provide initial performance assessments.
Structure | 2017
Swanand Gore; Eduardo Sanz García; Pieter M. S. Hendrickx; Aleksandras Gutmanas; John D. Westbrook; Huanwang Yang; Zukang Feng; Kumaran Baskaran; John M. Berrisford; Brian P. Hudson; Yasuyo Ikegawa; Naohiro Kobayashi; Catherine L. Lawson; Steve Mading; Lora Mak; Abhik Mukhopadhyay; Thomas J. Oldfield; Ardan Patwardhan; Ezra Peisach; Gaurav Sahni; Monica Sekharan; Sanchayita Sen; Chenghua Shao; Oliver S. Smart; Eldon L. Ulrich; Reiko Yamashita; Martha Quesada; Jasmine Young; Haruki Nakamura; John L. Markley
Summary The Worldwide PDB recently launched a deposition, biocuration, and validation tool: OneDep. At various stages of OneDep data processing, validation reports for three-dimensional structures of biological macromolecules are produced. These reports are based on recommendations of expert task forces representing crystallography, nuclear magnetic resonance, and cryoelectron microscopy communities. The reports provide useful metrics with which depositors can evaluate the quality of the experimental data, the structural model, and the fit between them. The validation module is also available as a stand-alone web server and as a programmatically accessible web service. A growing number of journals require the official wwPDB validation reports (produced at biocuration) to accompany manuscripts describing macromolecular structures. Upon public release of the structure, the validation report becomes part of the public PDB archive. Geometric quality scores for proteins in the PDB archive have improved over the past decade.
Journal of Biological Chemistry | 2007
Chenghua Shao; Xiaomeng Shi; Hania Wehbi; Carlo Zambonelli; James F. Head; Barbara A. Seaton; Mary F. Roberts
The crystal structure of the W47A/W242A mutant of phosphatidylinositol-specific phospholipase C (PI-PLC) from Bacillus thuringiensis has been solved to 1.8Å resolution. The W47A/W242A mutant is an interfacially challenged enzyme, and it has been proposed that one or both tryptophan side chains serve as membrane interfacial anchors (Feng, J., Wehbi, H., and Roberts, M. F. (2002) J. Biol. Chem. 277, 19867-19875). The crystal structure supports this hypothesis. Relative to the crystal structure of the closely related (97% identity) wild-type PI-PLC from Bacillus cereus, significant conformational differences occur at the membrane-binding interfacial region rather than the active site. The Trp → Ala mutations not only remove the membrane-partitioning aromatic side chains but also perturb the conformations of the so-called helix B and rim loop regions, both of which are implicated in interfacial binding. The crystal structure also reveals a homodimer, the first such observation for a bacterial PI-PLC, with pseudo-2-fold symmetry. The symmetric dimer interface is stabilized by hydrophobic and hydrogen-bonding interactions, contributed primarily by a central swath of aromatic residues arranged in a quasiherringbone pattern. Evidence that interfacially active wild-type PI-PLC enzymes may dimerize in the presence of phosphatidylcholine vesicles is provided by fluorescence quenching of PI-PLC mutants with pyrene-labeled cysteine residues. The combined data suggest that wild-type PI-PLC can form similar homodimers, anchored to the interface by the tryptophan and neighboring membrane-partitioning residues.
Journal of Computer-aided Molecular Design | 2018
Zied Gaieb; Shuai Liu; Symon Gathiaka; Michael Chiu; Huanwang Yang; Chenghua Shao; Victoria A. Feher; W. Patrick Walters; Bernd Kuhn; Markus G. Rudolph; Stephen K. Burley; Michael K. Gilson; Rommie E. Amaro
The Drug Design Data Resource (D3R) ran Grand Challenge 2 (GC2) from September 2016 through February 2017. This challenge was based on a dataset of structures and affinities for the nuclear receptor farnesoid X receptor (FXR), contributed by F. Hoffmann-La Roche. The dataset contained 102 IC50 values, spanning six orders of magnitude, and 36 high-resolution co-crystal structures with representatives of four major ligand classes. Strong global participation was evident, with 49 participants submitting 262 prediction submission packages in total. Procedurally, GC2 mimicked Grand Challenge 2015 (GC2015), with a Stage 1 subchallenge testing ligand pose prediction methods and ranking and scoring methods, and a Stage 2 subchallenge testing only ligand ranking and scoring methods after the release of all blinded co-crystal structures. Two smaller curated sets of 18 and 15 ligands were developed to test alchemical free energy methods. This overview summarizes all aspects of GC2, including the dataset details, challenge procedures, and participant results. We also consider implications for progress in the field, while highlighting methodological areas that merit continued development. Similar to GC2015, the outcome of GC2 underscores the pressing need for methods development in pose prediction, particularly for ligand scaffolds not currently represented in the Protein Data Bank (http://www.pdb.org), and in affinity ranking and scoring of bound ligands.